{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nilmtk import *\n",
    "from nilmtk.disaggregate import fhmm_exact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train = DataSet('/data/REDD/redd.h5')\n",
    "test = DataSet('/data/REDD/redd.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "building = 2\n",
    "train.set_window(end=\"30-4-2011\")\n",
    "test.set_window(start=\"30-4-2011\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_elec = train.buildings[building].elec\n",
    "test_elec = test.buildings[building].elec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:66: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  inline backend.\"\"\"\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:71: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  'retina', 'jpeg', 'svg', 'pdf'.\"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:85: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  use `figure_formats` instead)\"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:95: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  \"\"\"\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:114: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  \"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:44: DeprecationWarning: InlineBackend._config_changed is deprecated: use @observe and @unobserve instead.\n",
      "  def _config_changed(self, name, old, new):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/traitlets/traitlets.py:770: DeprecationWarning: A parent of InlineBackend._config_changed has adopted the new @observe(change) API\n",
      "  clsname, change_or_name), DeprecationWarning)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:96: DeprecationWarning: DisplayFormatter._formatters_default is deprecated: use @default decorator instead.\n",
      "  def _formatters_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:675: DeprecationWarning: PlainTextFormatter._deferred_printers_default is deprecated: use @default decorator instead.\n",
      "  def _deferred_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:667: DeprecationWarning: PlainTextFormatter._singleton_printers_default is deprecated: use @default decorator instead.\n",
      "  def _singleton_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:670: DeprecationWarning: PlainTextFormatter._type_printers_default is deprecated: use @default decorator instead.\n",
      "  def _type_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:670: DeprecationWarning: PlainTextFormatter._type_printers_default is deprecated: use @default decorator instead.\n",
      "  def _type_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:675: DeprecationWarning: PlainTextFormatter._deferred_printers_default is deprecated: use @default decorator instead.\n",
      "  def _deferred_printers_default(self):\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:390: FutureWarning: fill_method is deprecated to .resample()\n",
      "the new syntax is .resample(...).ffill(limit=1)\n",
      "  data = data.resample(**resample_kwargs)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/dateutil/rrule.py:470: DeprecationWarning: Using both 'count' and 'until' is inconsistent with RFC 2445 and has been deprecated in dateutil. Future versions will raise an error.\n",
      "  \"raise an error.\", DeprecationWarning)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:90: DeprecationWarning: DisplayFormatter._ipython_display_formatter_default is deprecated: use @default decorator instead.\n",
      "  def _ipython_display_formatter_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:667: DeprecationWarning: PlainTextFormatter._singleton_printers_default is deprecated: use @default decorator instead.\n",
      "  def _singleton_printers_default(self):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11173b290>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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UFACCgoIQQqDTqeGrPFBX2U0oc5PCEZX9vrCXwvSjjz5ixIgRPPPMM3Tt2pVmzZrh7+/P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\nQqPRaDRN8v9oQFWmko/UJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11173ba50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_elec.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111842290>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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19u3btbu7u16/fr3WWuv4+Hh9+PBhrbXWEREROjAwUB88eFDn5ubq7OxsHRYW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\nPAYOHMjWrVuJjY0lNTWVtm3bAnD06FE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      "text/plain": [
       "<matplotlib.figure.Figure at 0x109c16290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_elec.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training model for submeter 'ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])'\n",
      "Training model for submeter 'ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])'\n",
      "('Runtime =', 13.245984077453613, 'seconds.')\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "fhmm = fhmm_exact.FHMM()\n",
    "fhmm.train(train_elec, sample_period=120)\n",
    "end = time.time()\n",
    "print(\"Runtime =\", end-start, \"seconds.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data for meter ElecMeterID(instance=2, building=2, dataset='REDD')     \n",
      "Done loading data all meters for this chunk.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:390: FutureWarning: fill_method is deprecated to .resample()\n",
      "the new syntax is .resample(...).ffill(limit=4)\n",
      "  data = data.resample(**resample_kwargs)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>physical_quantity</th>\n",
       "      <th>power</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>type</th>\n",
       "      <th>apparent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>126.949974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>114.711071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>37.470001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>37.779999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>37.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>271.519997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>294.119995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "physical_quantity        power\n",
       "type                  apparent\n",
       "count              1000.000000\n",
       "mean                126.949974\n",
       "std                 114.711071\n",
       "min                  37.470001\n",
       "25%                  37.779999\n",
       "50%                  37.900002\n",
       "75%                 271.519997\n",
       "max                 294.119995"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_elec.mains().load(sample_period=8, chunksize=1000).next().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data for meter ElecMeterID(instance=2, building=2, dataset='REDD')     \n",
      "Done loading data all meters for this chunk.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:336: FutureWarning: \n",
      ".resample() is now a deferred operation\n",
      "You called index(...) on this deferred object which materialized it into a series\n",
      "by implicitly taking the mean.  Use .resample(...).mean() instead\n",
      "  return resampled.index[0]\n"
     ]
    }
   ],
   "source": [
    "pred = {}\n",
    "gt= {}\n",
    "\n",
    "for i, chunk in enumerate(test_elec.mains().load(sample_period=120)):\n",
    "    chunk_drop_na = chunk.dropna()\n",
    "    pred[i] = fhmm.disaggregate_chunk(chunk_drop_na)\n",
    "    gt[i]={}\n",
    "    \n",
    "    for meter in test_elec.submeters().meters:\n",
    "        # Only use the meters that we trained on (this saves time!)    \n",
    "        gt[i][meter] = meter.load(sample_period=120).next()\n",
    "    gt[i] = pd.DataFrame({k:v.squeeze() for k,v in gt[i].iteritems()}, index=gt[i].values()[0].index).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "physical_quantity  type    \n",
       "power              apparent    float32\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chunk_drop_na.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# If everything can fit in memory\n",
    "gt_overall = pd.concat(gt)\n",
    "gt_overall.index = gt_overall.index.droplevel()\n",
    "pred_overall = pd.concat(pred)\n",
    "pred_overall.index = pred_overall.index.droplevel()\n",
    "\n",
    "# Having the same order of columns\n",
    "gt_overall = gt_overall[pred_overall.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111819f10>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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c77zzjt5w9T2HhoYiICAAvr6+kEqlmDp1KkpKSgyWQfW77utCJBJBpVLxfwqF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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109c2c850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gt_overall.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pred_overall = pred_overall.ix[gt_overall.index]\n",
    "gt_overall = gt_overall.ix[pred_overall.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rmse={}\n",
    "for col in pred_overall.columns:\n",
    "    rmse[col] = np.sqrt(mean_squared_error(gt_overall[col], pred_overall[col]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1117c3810>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hZlcqqVPvDfxB6aCb+TX+DgPWIUkM3lU6RKhXTZhFuIV9WZkIONPMftHhgTSZ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3AAAg\nAElEQVR4osb+18AUYByAmZ0s6ZXM/efAKUC3FpeCIAiCRcdyrwkGGqrKJe0l6X7Xzl0taVW3317S\nFNcyTZXU14P8Cegj6X3+/AmyF7WkjSXd6lq+uyVtKmlHYF/gHNdqDS7z5+HHSfq5pKnAGEmbAK+b\n2T/dvU2b6ZqwsyX9wTViO7v9h9xupud/CHAWMMTtxkjqK+kOtWsl9/Wwg1yrdrGkeZJ+L2lldxsi\naaLHOV3SYLc/UdKDbt/0xxzwFeBsM3sbwMz+3kSY3pLGex4nyDWTkuZLWsvNwwtNjGuDLqiNxP3M\nljQLODqzzzV6p0sa6/X8pKRjMn+neZ3fI+kKNdgJUGBmc8xsgZsfJvWl3vXC1MnrIE9/uv92cKez\ngF28rY+r8idpHe97MyXNzfpP7Zjo62VfD5gk6c5mygosBF4rsX/A48ppKI/MbAJp0WBUZi13e5u0\nWLSRpK3c7YVGcUq60PvuQ3nf9f40xutlqqSN3b4Yn9O8/T9dEmdbn5O0t4efIel2udxo0LcO9zE5\nS9Klbre2kib8D/7b0e13U/tOlxlql1MNi17UXcbBwDeA9SW1tY+khZLOc3kwUdIAt58k6cee/lxJ\n25XURS6vvuh1PUvSNdnYHSfpJ0ry9klJn8vCn+Jxz5L0A7crlZ3AHsAMMzNJ+5MmUeO9bj4l6bos\n3j0l/a5B+arSacQ7QCGvR0u6ztv+j0paw697nu6XtEZWB59zc6d3j8dzvY+9O9zfD73fzpF0gNv9\nVNLebr5O0q/c/AVJ38vsp3nYL7rdlyWdk9VPrs0/RO3vk59LbQdYmxlfbbuuvJ6/7+W6PxsLB3he\nZkmarCQPvwsc6Gke4HVyv/fx+5Tei0U+f+ft9LikMVnan3D/syRNdLtVlcZdMSb3abJNMbMHzexv\nJfavAfNr+n8+tu4F9pTUE765giAIlg3MbLn+AW8DM4FZ/vcAt58EDAMGAHcDq7j9ycC3gd7AU8Aw\nt+9H+kjfjaTh+RppMrITMBb4DnCC+70DGOLmDwN3unkc8Lksb/X83ZD5OwL4YfZ8epbWpMIN+CQw\n0c3nkzRkkDT+KwODgLlZPL2Afm4eADzh5kHAmyTtLMDVwCg3TwX2dfNKQB9gL+Ait5PXzy7+fI/X\ne+1vD3efBZzh8U4CtmvQnoNIGqwd/HlsVhd/BNZy83DgLjePBs4vqbs5wM5uPqeoG2/jGzL/93kd\nDgD+DqwAbO/l6O194/+yeE+sKPOPS8rzeeD2JvpxVV5XAVZy838A02rL4M99KvydAHwra7u+VIwJ\nN88H1szivaqirIeWlKGt/5N2RYzP3CYBj2bhx9S2V+b3OOBn+Tiucb8OH+dNyog1svEwCdgyK+s3\n3XwYcGNWjluyunyWNBbyfpP3uf5ZWkfRPl6r+tYWpN0ia9bk73JgJzdvCDzi5huAHd28qpejH+0y\nr/a3WVa+tbK8bQA87ubv5/VOGnMj3XxaVrZJtI/9jwIPNRhzed/5HnB0VqdXu3lz2mXRJ72OVq6p\niyrZeUYRpz/fBQzNnh8BBmT1+akG5atKZ1RF/U4o6V+jSfJhVWBt4CXgS+52HnBsPj4of/es4PE8\ng/cn93ubm99PWpwdCBxE+/j5A3C/m38N7FVTj32Ah0i7hNYu6t3dbiG93zYj9bEV3P5nlIzvOuOr\nbYx6PRd1Pgb4LzfPBdZ18+q1fSirh15u/hjw28zfk+6+MvA0sL6X5xlgo5oy/zft77P+wOMkObpp\nRZvOLPKU5eXlknL+F/D17LmD7CIt3g2tqCMDi1/84he/99APey/j+aM7v56wHfrfVn879A7Ah4Ap\nvrrdm6Sl+iDwnJnNBDCzV6DtBkcDJvhvM9KW00KD1pf04XBNtlreScvXhL9rMvO61F9xv9b/ziBN\nEvEynCppQ+BaM3tSnW+f7AWcJWlX0sfJepLe727zzaw4dzoD+ICkfsB6ZnaD18mbXpaPA3tJmkn7\nRGoT4D4z27VOviFNANY0sx0kbU+q040bhHnGzKa6eTxwDOljsukD8krnRvub2RS3uoyk0S/jZkta\nxn9I+hvpQ3Mn4Hozewt4S645BjCzc4Fzm8jDFiSN7V7dyGtv4CJJ25K0T5tURLMS8NMSf9OAsa55\nud7M5ihtVa4dE/fnWcrKOrJROWv4oaSzSB+pO9a4jbLy7dC1NGrnVi9KGCnpS6S+uA6p7PPc7Sr/\neyWpjxVMAPBx9RRJDlSxodIZ53VJdTk/cyvrW7sD15hvUzazl9zvnsDmmbzop7RrZQrwI0mXk8b6\nX4BXgKGtVAJp8jQhK9/YrMzvZG7jgd9l4a70fN4raTVJq9dJY2vXRq5BkhO3ZW7/6/E8msmhjwHj\nzOwNd3upgexclzTRLajVdl8GHCrpEpLsP6yqfPXSMbMrgCvqlLOWSWb2b+Dfkl4iHYuBNAHdqsZv\nvXfPRDP7l/vbhfa6f17SZNLi3L3A8Upn5x8B1lA6F70jSVbi7p9x8wbAJmb2oKSnJH2YNKn8oJnd\nL+lo0oLxNK+HPkAnbWiTvGFmt7h5BqlPQ1rouNTHybWlIVOf+Y1rgI2Ox7nuzOrpYdJ7cC3gbjN7\nBjqMo48D+0g6yZ9XIk2UH6f1MZPzPKntqniBtPulGRkXBEEQLGZ6wiS4ESJp4g7pYCltSZ2Paf/o\neIv0Ej8WnwSTJpYvNph4N+Pv1cz8GlDvw/IN//sO3qZmdqXSduq9gVuULrqZXxPuENJq+VAze1fp\nkpM+NXEW8Rb2ZXUi4Cwz+2UnB+keYLUaayOdDb0L+DP+0WNm05QuGBtg7ec9y7CK57dp31LbzOVN\nzU6Wauui7riRdCKpbmu528yOdz8bkMp9mJk93WQ+yvg6sMDMtlY6D1m29bjSn09cdgU+DYyTdB5J\nU9VpTJQh6So6f/gZ6Rzv+JIgJ1k6E/w1kuaravtgPYaSJu9l+elFmlQ82kxEkj5A2v473MxeljSO\njn3HmjCLzn0y5wLgXDO7WdJuJA1RQVXfqhpnH/GFl5wxkm4iteEUX5R6jjQZspq4jLTYUHYvwcHA\nQEmHeJh1JQ0xs6dK8tPVuhhH2kkyT9Jokva8IK+Len2hnux8jfpj/xLSTpU3SAsN71b4s3rpSBoF\nnNQpVNKkHlhin5fNsud3KZcnVeV/tcK+LYyZPae0xfr/kXZ0rEW6w2Khmb3qfXAPUl96Q+nYSFFn\nV5MWQx4j7ago4r3UzE6tk3az5H03f1991RdB9wZmqPzSyu+Rdvd8TtIgkoa5IK/fvE6r6nF/M+tw\nrldpq/vVlI+ZEWbW4TKsEvpQLX+bcD8jM4+g/VqDIAiCYPLkyUyePHmRxtkTzqc0+rCeCuwsv7nR\nzwttQtoitY6k4W7fzycPOacBp7haHgAzW0g6G/T5tgxIW7txIT6ZbeCvlkep1vDVIo9rsJnNN7ML\nSBcFbe3p5xPS/sDzPgHenXYtcls8Ob7S/qyk/TyNlSStQtLmHOmaEyStJz/rZWa7mtnQmt8wnwBD\n+tDaw8NtCvQ2s394HHdUlHGQpI+4eRTpYx/SJH+4m/evV0muTXlR0k5u1ezttUW9TCFpE1Z2Dfne\nWdznlpR5aDYB7k/SBJ2SabRxt0trzpUVeX2pIq/9gb+6+XDStkkob+tO/iRtROoDY0mav2FUjwmA\nl8kWZMxsZEX7lk2A8zL9NEWtXAteNVbb7JXOee5FRy1c0eeLi7GeMbN51CCpbGK8OklrulDSQNL2\n25yD/O9I0u6KggOUGEK6hOzxirwXaTzn5tF1/BXlvAv4vNrPt6/p9reTtoIX5dnG/25sZg+b2Tmk\nxYHNzOyVrC1q26bTBNjHXl8z29DMNjazwaRdCsUN471IW/chLfDclwU/yOPYBXjJZVsV/YAFvvOg\n3iJLURcTgS+4nEHSmg1k56OkLeoFtf31r6S2OBW/xMhZobZ89dIxsysqxnjZBLhVmnn3QJJ7B0nq\n5fL2o8CD7jaVtPB1D6mtTqRdTvYnTe7fULq1eYcszuuA/Uj9vdgFcSepPxbnd9d0udEBpfsl1m1Q\nttIx7n14mqXLwZ4nbfdve186q///7d15mFxVve7x74tMgUBEvAQQCCEKAkeEICiiEhG8jnCuyoxM\nXuW5MoRZxSOTCAQUBAQV5URklPECgjIlYQjkQGZCAqIEiCiDl5mriPA7f6xV6dWV2lXVnaSrm34/\nz9NP71p7qLXXXmvXXrWGAp7Ky/vT2hTg47nCXJajW0hfXNfee3OAiPhDkzJTXwFudB4b0tWDpJEW\n608o/sY0OYyZ2eAzZswYTjjhhIV/S8JgqASvqO4/kXRKDg+ASBMx7QdcLmkWqdvnRrm1ZTdSF9KZ\npAfQFcoDR8SUyF2D6+wNfE1p8o85pAmxID1UHK00GcdI0sNWo+3qW1Luomu203pVraK7Kk3yMoM0\nxvDXkSbWmqw0ycw4Ure/rfJ570331rOq1px9gEPzPpOB4RFxG6lScp+k2aSu3EMr9q83HthA6Sd/\nLsvHh9Stsb7Fq+Zh4CBJc0ld5H6Ww08CzpF0P6lVuJUDgPOVunE3a70q1fLNVNI4uVnATaQxbS81\n2a90MDAKOK7Il7VZsTejq8LUTlzPB/bL13lDulqKZgNv5eOPJY3jK7erzVw6BpiVj7srcHZVmcjb\n/wL4vdqfGKtUn8Y/II03rqlNYDRD0q1F+GE5/BHSlx7b57xc7jeT1LV0COkhvhvliY4WiVDEbNLM\n7vNI5eGeuk1Wy2lwCKlSUfMkqcJxE3Bg5KEBFU4Erpb0AM2HNdTy1lxS2tyZr9eP8vqxwIeUJkGa\nAxyYww9TmlRoJmksf29m092drpa/mmvpqgS/Bmydy+kYUlmr+UfOP+eT8mkzx5HS7W6a329qaXEL\nqZxNze9xZF5fdY/9Hd1bly8CfpbzT+3+fSmwIHd/rak6v6p79OKoutfUzrnlZ0/e7jpSOZ9FGrt8\ndEQ8m1ffTRrD+xhpTOtqpM8RgN+TJhd8CDiF4sud3GV4Hql78NQcNo80T8atuSzcSho2sJAkke5p\nZblsdL5V535G/lyaTRrDPJvU0rtJvna7kOZCOE3SNJo/u5Sf7d8ArsvlqFapPzmf/+x8vU9qfJhF\nKU2UtwAYovRTSccVq7clfWnTaL81SEOznm203szM+p6KRkzrxySdRZqYZ0LLjd8GlMahPRERv225\ncYdIWjl3LxxCesD8ekS081NZVcdbBfhlROzWcmPrEaUZnEfmFuh295lP6ib9fF34eFJZrBq7OCBU\nnV/Ftq9ERP2wBpS60h4Zefxqf6A04/MxuRt3o/XnAtMjYnwR1vD8rD1K8xvsHxFHdTounZBbkw+P\niH2LsONJXdDPlHQY8FKZ5+r2j/a/hzUz6wuiP9cRJRERPZ0DppvB0BL8dnEKaXbRQSEizuvPFeDs\ngtzCMI00vrDXFWBIXeRdAV46IuKmnlSAa7v1MHygeQ64Q43HX9YbSGnxbVJPkkVImkoaM17fXb8/\nnseAkbvjD8oKcLY6aXgUAEo/NbUXXT1zXiD1SjAzs37CLcFmZmZmHeKWYDPrf97+LcGeHdrMzMys\noxbrWc7MbIkaPnxE640GOFeCzczMzDqoP7e4mJm9HXlMsJmZmZmZmQ0argSbmZmZmZnZoOFKsJmZ\nmZmZmQ0argSbmZmZmZnZoOFKsJmZmZmZmQ0argSbmZmZmZnZoOFKsJmZmZmZmQ0argSbmZmZmZnZ\noOFKsJmZmZmZmQ0argSbmZmZmZnZoLFspyNgZmZmNphJ6nQUrBeGDx/B008/3ulomFkvKCI6HQcz\nMzOzQUlSgJ/FBibh52izvieJiFisbw/dHXopk/SmpOmSZuT/x+TwiZJG9+J420l6S9IBRdgHc9gR\nLfbdWdL7e34WC/f9j7x8oKS9e3GMYZL+T2/ef2mTdGROw3e12G6EpAd7eOwvFtf9+EbXqTyupC0l\n/bgn79HD+OwgaaqkWZIekPTJHu7fMg3yNnssXkwbHnespBV7sP3xkvbJy+MlPVaUx+2L7SZKerhY\nd2Wx/59z+COSrpa0cYP9ZkqaK+kcScOK9fOXzJm3da7bSboxLy/Mc/2VpMdzHhxdhK0u6Z+SvrGY\nx95X0jl5uVf3q8V477G198vxWLOv3ruIwwhJE/Nyj/JFuX2Ddd3KXzv5W9IFvfncyZ9rn+3pfkuT\npJMlPSnp5brwgyTtX7w+XdJfa/d6SZdLGtXX8TUzs2quBC99r0XE6IjYIv8/fQkccw6wa/F6D2Bm\nG/v9O7BpT95I0jvy4jHA+QAR8fOIuKQnx8lWA77Zi/2WKknrADsCT7S5S4++9o2IG9u87pG3nxYR\nh/XkPXroOeALEfFBYD/g4l4co1UajAT27MVxWzkMWGkx9j8qIkYDhwM/q1u3R1FWy/J1Zg7fCLgS\nmCBp9br9Ngc2A/4JXF+s6+smgloeajfPddJbwJiImF6E7QLcR7qnLRGLcb/qsXy/PAC4NAftB7yn\nL967gahf7um9qIHDgJXb2K5rg4hvRMTDbbxnvc2Bz/Viv6XpBmCrBuH/CRxSexERxwA/Ldb/FPjW\n0o2amZn1hCvBS1/LpnpJO0q6N7fO/UbSSjl8K0mTcyvTFEm1h48ngBUl/Y/8+jPA74rjbSDpd7mV\n705JG0raBtgJOD23ao1stF3ef7ykn0qaAoyT9D7gHxHxfF6/sDUzt4SdJum/covYtjl8kxw2Pcd/\nFHAqMCqHjZO0sqTb1dUquVPed0RuVbtA0hxJv5e0Ql43StJt+ZhTJY3M4UdJuj+HH9/Da3QWcHQP\ntl9O0iU5jlfWWkYkzVduSVZqza21xOwr6dz6g+RtZkqaARxUhJctN8dLujCn8x8lHVJs972c5ndJ\nukwtegLURMSsiHg6Lz9EykvLNdunSVxH5Pefmv8+kledCnwsX+uxVdtJWjPnvemSZhf5p75MrJzP\nfW1goqQ72jlX4BXg7w3C78vHKrW8H0bElcAtdK/gK6/7F+nLovUkfSCve67VMSWdn/Pug2Xezflp\nXE6XKZI2yOG18vlAvv6fb3DMhXlO0hfy/tMk3ap832iRt/bJZXKGpIty2LuVWsL/K/9tk8O3U1dP\nl2nquk+1PPVa2hX2AI4E3iNp4fWR9IqkM/P94DblLyFy3H+c33+2pA81SIvyfvW/c1rPkHRVUXbH\nSzpb6X77R0lfKvb/Vj72DEmn5LCG905ge2BaRISkLwMfAi7JafM5SdcVx91B0jUtzq/qfVp5E3i+\nQVqU+WIDSffl6/x9Sa8Um66S02eepIvz9rXyN6Eof+3k74W9nvJ5nqx0L7m3yIu75Pw/Q9IkpfvR\nScCuOe12Ufo8vDfnsXuUPpdq53RNTqdHJI0r3vszefsZkm7LYSvlfF8rE19sM02JiPsj4pkG4X8H\n5tflvzJv3w3sIMnPXGZm/UVE+G8p/gH/AqYDM/L/XXL4RGA0sDpwJzAkhx8D/AewHPAnYHQOH0p6\nSN8OuBE4mFQZ+ShwIXAccETe9nZgVF7eGrgjL48HvlTErdl2NxTb7QecUbw+vnivibV1wGeB2/Ly\nOaQWMkgTsK0AjABmF8dZBhial1cHHs3LI0gtah/Ir38D7JmXpwA75eXlgRVJrbg/z2HK6fOx/Pqu\nnO71f9vn9TuRWvoA5gPvanE9R5BasD6SX19YpMVjtf2BLYEJeXlf4JwGaTcL2DYvn15Lm3yNbyi2\nvyen4erA34B3kFojppPyyVDgD8Vxj6o45x83OJ+vALe2kY+r4joEWD4vvxd4oP4c8usVK7Y7AvhO\nce1WpqJMFNdoteK4V1Sc694NzmFh/if1irikWDcRmFfsP67+ehXbjgXOK8tx3frryOW8zXvEO4vy\nMBH4t+Jcv52XvwrcWJzHzUVaLiCVhTLflHluWPFeX6OrvFblrU2Bh2vpXMTvUuCjeXldYG5evgHY\nJi+vlM9jKF33vPq/9zcqb8A6wCN5+eQy3Ullbve8/L3i3CbSVfY/DjzYosyVeef7wEFFmv4mL29M\n173oszmNVqhLi6p75wm1Y+bXE4AtitdzgdWL9Pxci/Orep89K9L3ygb5qypf3AjsmpcPBF4utn8B\nWItUJu8trvtjZRq2mb8XlpF8nrVzHgccm5dnA2vl5VXr45pfDwWWycufAq4utvtjXr8C8Dip9f3d\nwJPAenXX7gd0fZ4MAx4h3cc2rEjT6bU4FXF5ucF5HgscXrzudu8gfXm2RUUaBYT/BuQfYWZ9L5e9\nRe6nPfnz7NBL3/+P1P2yykeATYDJkkSq1NwHbAT8JXJXwYh4FRbOIBmkbplXAu8HLgdqLWgrkyrG\nV+XjkY/ZTRvbXVUsr0Xzb/yvzf+nkSqJ5HP4rqR1gWsj4o9adPbLZYBTJX2C9HC0tqQ18rr5EVEb\ndzoNWF/SUGDtiLghp8k/87l8GthR0nS6KlLvA+6JiE9URVrSENKDy45lcJPzrHkyIqbk5UtI3eDO\nbHPf2nsPI1VOJuegi0kt+o3cFKmV8f9JegYYTrp210fEG8AbKsbwRcQPgR+2EYdNSS22O7bYrllc\nlwN+LmlzUuvT+yoOszzwkwbbPQBcmFt+ro+IWZLGsGiZuLeMUnGuu7c6zzpnSDqV9JC8Td26PSNi\nRhvHaHWdezpRw+6Svk6qjK5JOvc5ed0V+f/lpDxWcyVALld/It0HqqyrNMZ5LVJazi/WNcpbnwSu\niogX8nu8mLfdAdi4uF8MVeq1Mhk4S9KlpLL+FPAqsEVPEgHYrXZe+f+FxTm/Way7BLim2O/yHM+7\nJa0iadUm77GZpO8D7yTdJ24p1v3ffJx5xX3oU8D4iHg9r3uxxb1zLVJFt6a+tftiYG9JvyLd+79a\ndX7N3iciLgMua3Ke7dgG2DkvXwacUay7PyL+CiBpJrA+qQw2ar3vidcj4ua8PI2UpyB90XBRzqfX\nNtwzXbNf5xbgoPuvW9xRfEY+RPocehdwZ0Q8Cd3y8aeBL0qq9f5ZnlRRfoSe59nSs6TP7SrPkVrS\nK+4xJxTLY/KfmZkBTJo0iUmTJi3RY7oS3HkitcTt1S1Q+jeaPGxExLOS3iA9RBxKrgSTKpYvtKh4\nt7Pda8Xy34FmD5av5/9vkvNURFyu1J36C8DNShPdzK/bby/St/VbRMRbSpOsrFh3zNpxa+GN0kTA\nqRHxi0VWSHcBq9QFB6m19FnSw92s/JC5DjBN0tYR8WyT842K1/+iq0ttO5M3tfswWZ8WTcutpKNI\naVvvzshjjZXGQV8LfDUiHm8zHo0cDjwdEZspjYds1PW4crtccfkE8HlgvKQzgRdpUCYakXQFiz54\nBql1v9E40KMj4lpJB5Na/6q6LzazBany3ig+ywAfILUqtyRpfVL33y0j4mVJ4+med6KNZbFoniyd\nC/wwIm6StB2phaqmKm9VlbMP5y9eSuMk/ZZ0DSfnL6X+QuoCGnXHCtKXDY3GiO4BDJe0V95nLUmj\nIuJPDeLT27QYT+pJMkfSvqRWz5oyLZrlhWb3zr/TvOz/itQC+zrpi4a3KraLZu8jaU8aD+F4NLqP\nZ2+mPt1KPbrn9ECZd8rPi29K2or0eTFNjSeN/D6pd82XJI0gtTA3iu9bNM/HAF+OiEfLAKWu5r+h\ncZ4dExHdJsNqYEWq739trD+hxeHNzAavMWPGMGbMmIWvTzzxxMU+psenLH2tHqynANsqzxyZxyu9\nj9RFa01JW+bwoeqapKrme8C3crcAACLiFdLYpK8sjIC0WV58hVyZbbFdvXlUt/DVUz7WyIiYHxHn\nkiYK2iy/f1khHQY8myvAn6SrFXnhcUr5m/4FknbO77F8bs29BTggt5wgaW3lsWYR8YlIEx2Vf6Mj\nYkJEzImINSNig4gYCfyZVCF/Nh/j9opzHCHpw3l5T9LDPqRK/pZ5+cvNEikiXgJekPTRHNTu7LW1\ndJlMas1YIbeQf6E49g8bnPMWRQV4GPBbUt6Z0u3g0kV149pqcX2xIq7DgL/m5X1I3Wmh8bVeZDtJ\n65HywIWklr/RVJcJgJcpvpCJiN0rrm/TiZAi4ifp0GqnF8DCcKVxnjvSvRWulueXBU4j9RSYQx1J\njSrGq5JaTV+RNJzU/ba0W/6/O6l3Rc0uSkaRJiF7pCLutff4S17et8l2tfOcAHxFXePbV8vht5K6\ngtfO54P5/wYR8VCkCZceIHV3frW4FvXXZpEKcK6ArBwR6xbl8VS6JshahtR1H9IXPPcUu++Wj/Ex\n4MV8b6syFHg69zxo9iVLLS1uA/bP9xkkrdbi3jmP1EW9pj6//pV0Lb5LqpDXvKP+/Jq9T0RcVlHG\n260AQypntWO326Oi2/mUlOZ3WKvF/g3LWM5DD0TE8aQvJ9el+LzKVgWeysv709oU4OO5wlzm41tI\nXxzX3ntzgIj4Q5M8W18BbnQeG9LVg6ORVuvNzKwPuRK89K2o7j+RdEoOD4CI+BtpzO3lkmaRupxt\nlFtbdiN1IZ1JegBdoTxwREyJ3DW4zt7A15QmH5lDGvcKqWvl0UqTgYwkPWw12q6+JeUu0kydjVS1\niu6qNMnLDNIYw19HmlhrstIkM+NI3f62yue9N91bz6pac/YBDs37TAaGR8RtpErJfZJmk7pyD63Y\nv5myBWAturdalB4GDpI0l9RFrzbL8EnAOZLuJ7UKt3IAcL5SN+5mrVf1cSQippLGYs4CbiKNqXup\nzWMcDIwCjivy5bvzus3oqjC1E9fzgf3ydd6Qrh4Es4G38vHHAufVbfdq3m4MqSV+OmnG87OrykTe\n/hfA79X+xFil+jT+AWm8cU1tAqMZkm4twg/L4Y+QvvTYPuflcr+ZwIOksYU7U0fdZ5PuilDEbNLM\n7vNI5eGeuk1Wy2lwCKk1veZJ4H7StT8w8tCACicCV0t6gObDGmp5ay4pbe7M1+tHef1Y4ENKEynN\nIY0jhZQ+D+Y0+CfFJH09sDtpLHXpWroqwa8BWyv9NNcYUlmr+UfOP+eT8mkzx9udtzcAAAcfSURB\nVJHS7W6a329qaXELqZxNze9xZF5fdY/9Hd1bly8CfpbzT+3+fSmwIHe/rak6v6p79JJwOHBEvm6j\nqL5/lGnTsPxJUj7GIpNx1e1fdZ87I38uzAbuzeViIrBJTrtdSHMRnCZpGs2fXcrP1m8A1+V8XBta\ncDJpcsPZOb1PanyYRSlNVLcAGKL0U0nHFau3JX1p0mi/NUhDo5r1MDIzsz6kohHRrJKks0gT80zo\ndFz6gqSDgCci4redjksVSStHxGu5leou4OsR0c5PZVUdbxXglxGxW8uNrUeUZnAemVug291nPqmb\n9PN14eNJZbFq7OSAUHV+Fdu+EhH1wxpQmoH9yOj+M0sdpTTj8zG5G3ej9ecC0yNifBHW8PyWJklD\nIs1qjKTdSBNz/a9eHmtTYP+IOGpJxnGgyK3Jh0fEvkXY8cArEXGmpMOAl8prXrd/tP89qPUvws/R\nZn1PEhGxOHNUeEywte0U4MMtt3qbiIjzOh2HNlwgaRNSD4FfLU4FGBZ2kXcFeCmIiJt6s1sPwwea\n54A7JH2tjUrsQEqLb5N6kixSCZY0ldQLov7nzDpxHltK+gmp98sLtG5FrxTpp9YGZQU4W500PAkA\nSaeTZqCv9aJ4gd79HruZmS0lbgk2MzMz6xC3BA9kbgk26wS3BJuZmZkNeIv1LGcdMnz4iNYbmVm/\n5EqwmZmZWQe5NdHMrG95dmgzMzMz67FJkyZ1OgqLxfHvLMe/swZ6/BeXK8FmZmZm1mMD/SHa8e8s\nx7+zBnr8F5crwWZmZmZmZjZouBJsZmZmZmZmg4Z/IsnMzMysQ9JPJJmZWU8s7k8kuRJsZmZmZmZm\ng4a7Q5uZmZmZmdmg4UqwmZmZmZmZDRquBJuZmZn1MUmfkfSwpD9I+lan49OKpHUkTZD0kKQHJR2a\nw1eTdKukRyTdImlYp+NaRdIykqZLuiG/HkhxHybpKknz8jX48ACL/+GS5kiaLelSScv35/hLulDS\nM5JmF2GV8ZX0HUmP5uvz6c7EuktF/E/P8Zsp6RpJqxbr+n38i3VHSnpL0ruKsB7H35VgMzMzsz4k\naRngJ8D/BDYF9pD0/s7GqqV/AUdExKbANsBBOc7fBm6PiI2ACcB3OhjHVsYCc4vXAynuZwM3R8TG\nwAeBhxkg8Ze0NnAIMDoiNgOWBfagf8d/PKl8lhrGV9ImwK7AxsBngfMlLdakTUtAo/jfCmwaEZsD\njzLw4o+kdYAdgSeKsI3pRfxdCTYzMzPrW1sDj0bEExHxBnAFsHOH49RURDwdETPz8qvAPGAdUrwv\nyptdBPx7Z2LYXH54/hzwyyJ4oMR9VeDjETEeICL+FREvMUDin70DWFnSssAQ4Cn6cfwj4h7ghbrg\nqvjuBFyRr8vjpArm1n0RzyqN4h8Rt0fEW/nlFFL5hQES/+ws4Oi6sJ3pRfxdCTYzMzPrW+8BFhSv\n/5zDBgRJ6wObkx6kh0fEM5AqysAanYtZU7WH5/JnUQZK3EcCf5M0PnfnvkDSSgyQ+EfEX4AfAU+S\nKr8vRcTtDJD4F9aoiG99eX6K/l+eDwBuzssDIv6SdgIWRMSDdat6FX9Xgs3MzMysLZKGAlcDY3OL\ncP1vbfa7396U9HngmdyS3aybZL+Le7YsMBo4LyJGA6+Ruub2+7QHkPROUmvdCGBtUovwXgyQ+Dcx\n0OILgKTvAm9ExOWdjku7JA0BjgWOX1LHdCXYzMzMrG89BaxXvF4nh/VruSvr1cDFEXF9Dn5G0vC8\nfk3g2U7Fr4ltgZ0kPQZcDmwv6WLg6QEQd0g9BRZExNT8+hpSpXggpD3ADsBjEfF8RLwJXAd8lIET\n/5qq+D4FrFts12/Ls6T9SMMC9iyCB0L8RwHrA7MkzSfFcbqkNejl/dSVYDMzM7O+9QDwXkkjJC0P\n7A7c0OE4teM/gbkRcXYRdgOwX17eF7i+fqdOi4hjI2K9iNiAlNYTIuKrwI3087gD5C64CyRtmIM+\nBTzEAEj77EngI5JWzBMWfYo0QVl/j7/o3nOgKr43ALvnGa9HAu8F7u+rSDbRLf6SPkMaErBTRLxe\nbNfv4x8RcyJizYjYICJGkr4Y2iIiniXFf7eexn/ZpRhxMzMzM6sTEW9KOpg0W+sywIURMa/D0WpK\n0rbAXsCDkmaQuoIeC4wDrpR0AGnG1l07F8seO42BE/dDgUslLQc8BuxPmmyq38c/Iu6XdDUwA3gj\n/78AWIV+Gn9JlwFjgNUlPUnqhnsacFV9fCNirqQrSRX7N4BvRkRHu0pXxP9YYHngtjx58pSI+OZA\niX9tYrgs6Kog9yr+6vA5mpmZmZmZmfUZd4c2MzMzMzOzQcOVYDMzMzMzMxs0XAk2MzMzMzOzQcOV\nYDMzMzMzMxs0XAk2MzMzMzOzQcOVYDMzMzMzMxs0XAk2MzMzMzOzQcOVYDMzMzMzMxs0/htR+e/e\nlutqSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112f4d3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(rmse).plot(kind=\"barh\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
